Sagility Saves 3-4 Hours Per Employee Daily with AI Adoption

Industry

Healthcare BPM

Expertise

Technology-driven business process management across the healthcare industry.

Offerings/solutions

Microsoft AI Training

About the Client

Sagility is a global organization delivering technology-driven business process management across the healthcare industry. The company manages high-volume operational workflows — including claims processing, revenue cycle management, and patient support — for healthcare clients worldwide, combining operational excellence with a deliberate approach to technology adoption.

Highlights

3-4 hours

Daily Time Saved Per Employee

100%

Team AI Adoptions Rate

9/10

Training Satisfaction Score

The Challenge

The core problem wasn’t access to AI. It was the gap between knowing AI existed and knowing what to do with it.
Sagility’s teams had exposure to AI tools and concepts. But exposure hadn’t translated into execution. AI remained an abstract capability sitting alongside their actual work rather than inside it, while the daily grind continued unchanged. Email reading, summarization, and replies alone were consuming close to 50% of each employee’s workday before meaningful work had even begun.

Four specific pain points were holding the organization back:

No implementation roadmap: Teams understood AI could help, but had no clear direction on which tools to apply, to
which tasks, or how to get started within Sagility’s existing Microsoft infrastructure.
Time lost to repetitive tasks: Routine communication workflows were consuming nearly half the workday, leaving limited bandwidth for the higher-value work employees were actually hired to do.
Knowledge without application: Employees had foundational AI familiarity but no hands-on experience building or deploying real solutions. Knowing what AI can do and knowing how to put it to work are very dierent things.
Ecosystem alignment: Sagility’s infrastructure ran on Microsoft. Any AI solution that didn’t integrate cleanly with that ecosystem wasn’t a real solution; it was just another tool to manage.

Sagility recognized that success hinged on one thing: helping employees build confidence, understand real-world applications,
and adopt an AI-first mindset, within the tools and workflows they already used every day.

With the help of AI now, since I know how to use it correctly, 50% of my time spent in reading, email, summarizing, understanding, and replying is saved. It (the training) justified my entire investment, like the time, money, everything, whatever we have put into these courses has come up with the returns and the best results for my team and me.

— Sameer Rathod, Senior Technical Lead, Sagility

Solutions

To close the gap between awareness and action, Sagility partnered with CloudThat to design a structured, three-stage Microsoft AI training program built around Sagility’s infrastructure, workflows, and the specific tasks consuming the most employee time.

A Progressive Learning Path

Rather than dropping employees into advanced AI concepts, CloudThat built a three-stage learning journey that compounded knowledge at each step:

• AI-900 (Azure AI Fundamentals) gave every participant, regardless of technical background, a grounded understanding of what AI could realistically do within their role. This stage established a shared baseline and cut through the noise of what was possible versus what was relevant.
• AI-102 (Azure AI Engineer) moved from concept to practice. Employees began developing and deploying real AI solutions, building the technical confidence needed before moving into agent development.
• AI-3026 (Azure AI Foundry & Agents) was where work became operational. Teams built custom AI agents targeting the exact
workflows (email handling, reporting, content creation) that were identified as he biggest productivity drainers.

The Results

The training led to immediate, measurable improvements across functions and seniority levels

3-4 Hours Saved Per Employee, Per Day
Employees reclaimed productive hours wasted daily through the automation of repetitive workflows. Email handling, which alone consumed close to 50% of the workday previously, was substantially automated within weeks of training completion. That time has been redirected toward higher-value work
100% AI Agent Adoption Across Trained Teams
Every trained team member built and deployed a working AI agent. That isn’t typical of corporate training programs; it reflects how directly the curriculum was matched to real needs. Adoption spanned technical, analyst, and marketing functions, demonstrating that the training was accessible well beyond engineering roles.
Faster Execution Across Projects
Teams reported measurably faster project cycles with less time lost to manual documentation,fewer delays from routine communication bottlenecks, and more capacity redirected toward high-value delivery.
Confidence to Actually Use AI in Live Projects
Perhaps the most durable outcome: employees moved from uncertainty about where to start with AI to genuine confidence in deploying it in live projects. That clarity compounds over time.
Strong Return on Training Investment
A satisfaction score of 9/10 reflected that participants found the program directly applicable to their work. Tangible productivity gains in the first weeks of deployment validated the time and cost investment, and then some.

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Case Study